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With increase in size of Internet of Things IoT device networks and applications, tremendous increase is witnessed in IoT data. Efficient storage and querying of this data is of major concern. This paper addresses the issue of faster query processing of this data. It presents a Log Based Method LBM to store and query IoT data in Resource Description Framework RDF format. LBM exploits skewedness in...
Internet of Things is projected to connect uniquely identifiable devices over the network to build an interactive system with high velocity and volume of data placing forth a challenge of interoperability between such devices. RDF provides a common standard for communication among devices of network and supports powerful data inference. The paper addresses the challenge of handling huge sensor data...
The paper explores use of various partitioning methods to store RDF data effectively, to meet the needs of extensively growing highly interactive semantic web applications. It proposes a combinational approach of structure index partitioning and vertical partitioning -- SIVP and demonstrates the implementation of SIVP. The paper presents five metrics to measure and analyze performance of SIVP store...
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